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Compare Astro by Astronomer and Databricks Data Intelligence Platform 
Featured Products
At a Glance
Market Segments
Mid-Market (48.1% of reviews)
Enterprise (46.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Astro by Astronomer
Star Rating
(136)4.5 out of 5
Market Segments
Mid-Market (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Astro by AstronomerDatabricks Data Intelligence Platform
Star Rating
(658)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in its integration of AI with data lakehouse architecture, which users find crucial for enhancing their data analytics capabilities. Many users appreciate the seamless integration with external tools like Power BI for reporting, making it a powerful choice for data-driven organizations.
- Users say that Astro by Astronomer simplifies the management of Airflow, highlighting its reliability and scalability. Reviewers mention that it saves time by handling infrastructure and monitoring, which can significantly boost developer productivity, especially for teams looking to streamline their workflows.
- According to verified reviews, the Databricks Data Intelligence Platform has a higher overall satisfaction score, reflecting its robust features and user-friendly interface. Users frequently commend its fast calculations and data analytics features, which contribute to a more efficient data engineering process.
- Reviewers mention that while Astro by Astronomer offers excellent monitoring capabilities through Slack integrations, it may not provide the same level of advanced analytics features as Databricks. Users appreciate the ease of tracking DAG statuses but seek more comprehensive data observability tools.
- G2 reviewers highlight that the Databricks Data Intelligence Platform provides a unified data engineering experience, particularly with its cloud integration capabilities across platforms like AWS and Azure. This versatility is a significant advantage for enterprises looking to leverage cloud technologies.
- Users report that Astro by Astronomer reduces the need for a dedicated DevOps team member, which can be a cost-saving benefit for mid-market companies. However, some users feel that it lacks the depth of features found in Databricks, particularly in areas like automated workflows and decision-making capabilities.
Pricing
Entry-Level Pricing
Astro by Astronomer
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Astro by Astronomer
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.9
106
8.9
538
Ease of Use
9.0
109
8.9
549
Ease of Setup
8.7
73
8.7
422
Ease of Admin
8.8
57
8.3
176
Quality of Support
8.9
98
8.7
513
Has the product been a good partner in doing business?
9.0
57
8.9
180
Product Direction (% positive)
9.0
103
9.6
527
Features by Category
Reports
Not enough data
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.0
8
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
9.3
5
Self Service
Not enough data
7.7
10
Not enough data
7.7
10
Not enough data
8.3
10
Not enough data
7.9
11
Not enough data
8.2
11
Not enough data
7.9
8
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Building Reports
Not enough data
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Automation
9.0
70
Not enough data
8.9
70
Not enough data
7.9
54
Not enough data
Administration
8.4
66
Not enough data
8.8
67
Not enough data
8.2
64
Not enough data
8.1
60
Not enough data
8.2
64
Not enough data
8.5
62
Not enough data
Functionality
9.0
66
Not enough data
8.5
65
Not enough data
8.5
65
Not enough data
Agentic AI - Workload Automation
7.3
17
Not enough data
7.5
17
Not enough data
7.7
17
Not enough data
7.6
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
Administration
Not enough data
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Management
Not enough data
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Compliance
Not enough data
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Security
Not enough data
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Management
Not enough data
8.6
169
Not enough data
8.5
163
Functionality
Not enough data
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Deployment
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.8
178
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Data Management
8.5
17
Not enough data
7.5
14
Not enough data
8.1
16
Not enough data
7.6
15
Not enough data
Analytics
7.3
15
Not enough data
Security
7.7
14
Not enough data
8.0
14
Not enough data
8.0
14
Not enough data
Generative AI
5.0
11
Not enough data
5.3
11
Not enough data
Agentic AI - Data Fabric
6.5
9
Not enough data
6.5
10
Not enough data
6.5
10
Not enough data
6.0
10
Not enough data
6.2
10
Not enough data
Data Management
Not enough data
9.0
181
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
174
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
170
|
Verified
Integration
Not enough data
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
155
|
Verified
Not enough data
9.1
176
|
Verified
Performance
Not enough data
9.1
176
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
Data Management
8.5
35
9.0
66
8.2
33
8.7
67
8.5
34
8.8
67
8.6
36
9.1
66
Agentic AI - DataOps Platforms
6.2
11
9.0
8
5.9
11
8.6
6
6.8
11
9.0
7
6.2
11
8.6
6
5.8
11
9.3
7
Analytics
7.5
34
8.8
66
7.3
34
8.5
64
Monitoring and Management
8.2
34
8.6
66
8.0
33
8.6
66
Cloud Deployment
8.7
32
9.1
62
8.4
31
9.0
62
Generative AI
6.7
21
8.9
35
6.7
22
8.9
35
Functionality
8.3
11
Not enough data
7.4
11
Not enough data
8.1
9
Not enough data
7.8
10
Not enough data
Management
7.7
10
Not enough data
7.6
9
Not enough data
8.2
10
Not enough data
7.3
10
Not enough data
7.5
10
Not enough data
Generative AI
5.7
9
Not enough data
Agentic AI - Data Observability
6.1
9
Not enough data
6.5
8
Not enough data
7.6
9
Not enough data
6.7
8
Not enough data
7.7
8
Not enough data
Database
Not enough data
8.7
229
Not enough data
8.9
235
Not enough data
9.3
242
Integrations
Not enough data
8.3
217
Not enough data
9.1
244
Platform
Not enough data
9.0
236
Not enough data
8.8
234
Not enough data
9.1
244
Processing
Not enough data
9.0
233
Not enough data
9.0
230
Data Transformation
Not enough data
8.8
223
Not enough data
9.0
229
Connectivity
Not enough data
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Operations
Not enough data
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
Building Reports
Not enough data
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Astro by Astronomer and Databricks Data Intelligence Platform are categorized as DataOps Platforms
Unique Categories
Astro by Astronomer is categorized as Data Fabric, Workload Automation, Big Data Integration Platforms, and Data Observability
Databricks Data Intelligence Platform is categorized as MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Astro by Astronomer
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.8%
Financial Services
12.8%
Computer Software
11.3%
Online Media
6.0%
Retail
5.3%
Other
48.9%
Information Technology and Services
15.1%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
Alternatives
Discussions
Astro by Astronomer has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
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